Title :
Wavelet multiuser detector for asynchronous DS-CDMA systems
Author :
Lin, Lili ; Zhou, Wenhui ; Qiu, Peiliang
Author_Institution :
Dept. of Inf. & Electron. Eng., Zhejiang Univ., Hangzhou, China
fDate :
31 May-2 June 2004
Abstract :
A novel wavelet transform based multiuser detector (WTMUD) is proposed for asynchronous DS-CDMA systems in flat Rayleigh fading channels. In this approach, wavelet reconstruction and decomposition are performed on the spread signal sequences and the received signals, respectively. Using the existing multiuser detection methods and the properties of wavelet decomposition, the information bits can be recovered from received signal. In this way, a series of WTMUDs can be implemented conveniently. The computation complexity of inverting correlation matrix of asynchronous WTMUDs is the same as that of synchronous multiuser detectors. And WTMUDs can realize the bit-by-bit detection of desired users. In addition, wavelet transform can mitigate the influence of noise to improve the signal-to-noise ratio (SNR) to achieve lower bit-error-rate (BER). Simulation results show that WTMUDs´ provide better performance on the aspects of BER performance and near-far resistance ability in flat Rayleigh fading channels, and larger system capacity in AWGN channels than their counterparts that do not incorporating wavelet transform.
Keywords :
AWGN channels; Rayleigh channels; code division multiple access; computational complexity; error statistics; matrix algebra; multiuser detection; spread spectrum communication; wavelet transforms; AWGN channel; BER; SNR; asynchronous DS-CDMA system; bit-by-bit detection; bit-error-rate; computational complexity; flat Rayleigh fading channel; inverting correlation matrix; near-far resistance ability; signal-to-noise ratio; spread signal sequence; wavelet decomposition; wavelet reconstruction; wavelet transform based multiuser detector; Additive white noise; Bit error rate; Detectors; Fading; Gaussian noise; Matrix decomposition; Multiaccess communication; Multiuser detection; Signal to noise ratio; Wavelet transforms;
Conference_Titel :
Emerging Technologies: Frontiers of Mobile and Wireless Communication, 2004. Proceedings of the IEEE 6th Circuits and Systems Symposium on
Print_ISBN :
0-7803-7938-1
DOI :
10.1109/CASSET.2004.1322926